My core focus is on advancing urban analytics and spatial computational methods to explore sustainable infrastructure design and operation, adaptation strategies to climate change or assessing, predicting, and mitigating risks from natural and man-made hazards. I unlock the potential of different sources of user-generated and crowd-sourced data such as ever-evolving smart metering, apply data-driven methods, use land use analysis or develop spatial algorithms to assess critical infrastructure system-of-systems.
Im stronlgy interested in urban hazards and extreme weather events such as heat- or cold waves and their impact on infrastructure systems, particularly surrounding buildings, and the energy system. My focus lies on climate-change-induced temperature increases and assessing potential infrastructural and societal risk and climate mitigation opportunities, including district energy solutions such as lake cooling, passive cooling in buildings or smart technologies to support behavioural change.
Superblocks as an innovative and unconventional urban transformation strategy to create pedestrian-centric neighbourhoods and facilitate alternative street use such as urban greening, pedestrian or cycling to increase liveability and sustainability. I assess unconventional urban design approaches to tackle the manifold challenges today’s cities face due to climate change and urbanisation, such as urban heat, strained infrastructure, and air- or noise pollution.
One of my research interest is investigating the impact of geography and the potential of densification on the resulting energy performance of buildings and neighbourhoods is a pressing societal challenge. Particular foci are the interplay between the densification site and the integration of neighbourhoods into the energy system, the study of natural resource use, or the interplay of densification with mobility.
Quantifying the impact of climate change and socio-technical drivers on energy demand through developing bottom-up and top-down simulation approaches using archetype analysis, ranging from the local to the continental scale. Integrating sources of uncertainties and climate data projections for high-resolution cooling and heating demand estimation, concerning e.g., the diffusion of heat pumps, air-conditioning, or passive cooling opportunities.
Urban water and energy systems are being redefined for a digital age, promising substantial advantages for service users and providers, as well as for society as a whole. Besides environmental energy-water infrastructure impacts, my research interest focuses on the benefits and challenges of harvesting novel sensing data in smart cities and how data-driven solutions could bring about a sustainability transition and improve liveability.